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Publications of M.Sc Mikail Yayla

2023

  • HW/SW Codesign for Approximation-Aware Binary Neural Networks
    Abhilasha Dave, Fabio Frustaci, Fanny Spagnolo, Mikail Yayla, Jian-Jia Chen, Hussam Amrouch
    IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS, accepted)
  • Robust and Efficient Machine Learning for Emerging Resource-Constrained Embedded Systems
    Mikail Yayla
    , Jian-Jia Chen
    Poster Presentation for PhD Forum, DATE'23
  • Global by Local Thresholding in Binarized Neural Networks for Efficient Crossbar Accelerator Design.
    Mikail Yayla
    , Fabio Frustaci, Fanny Spagnolo, Jian-Jia Chen, Hussam Amrouch
    (under review)
  • HEP-BNN: A Framework for Finding Low-Latency Execution Configurations of BNNs on Heterogenerous Multiprocesser Platforms.
    Leonard David Bereholschi, Ching-Chi Lin, Mikail Yayla, Jian-Jia Chen
    AccML@HiPEAC'23: 5th Workshop on Accelerated Machine Learning

2022

2021

2020

2019

2018

Further details can be found in:

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